gg_miss_var_cumsum

A plot showing the cumulative sum of missing values for each variable,
reading columns from the left to the right of the initial dataframe. A
default minimal theme is used, which can be customised as normal for ggplot.

Missing values are ubiquitous in data and need to be explored and
handled in the initial stages of analysis. 'naniar' provides data
structures and functions that facilitate the plotting of missing values and
examination of imputations. This allows missing data dependencies to be
explored with minimal deviation from the common work patterns of 'ggplot2'
and tidy data. The work is fully discussed at Tierney & Cook (2023)
<doi:10.18637/jss.v105.i07>.

Nicholas Tierney

naniar

Data Structures, Summaries, and Visualisations for Missing Data

Di Cook

Miles McBain

Colin Fay

Mitchell O'Hara-Wild

Jim Hester

Luke Smith

Andrew Heiss

gg_miss_var_cumsum function

<dl><dt>x</dt>
<dd>a data.frame</dd></dl>

Arguments

Plot of cumulative sum of missing value for each variable — gg_miss_var_cumsum

<dl>

<dt>x</dt>
<dd>a data.frame</dd>

</dl>

gg_miss_var_cumsum: Plot of cumulative sum of missing value for each variable

Description

Usage

Value

Arguments

See Also

Examples